Abstract
The use of renewable energy, which is more encouraged together with increasing sustainability and environmental concerns, highlighted the issue of energy technology transformation. Social acceptance is a highly significant component of renewable energy technology implementation since it can affect the time and effort required to implement a policy or technology and its effectiveness can depend on public participation. It is crucial to know the perspective of public before making renewable energy policies to be able to take necessary actions that might positively affect the acceptance of such policies. Therefore, in this study, after factors affecting social acceptance are categorized as benefits, opportunities, costs and risks, the alternative policies are prioritized with respect to these criteria by using an approach based on interval-valued intuitionistic fuzzy (IVIF) AHP and interval-valued Pythagorean fuzzy Benefits, Opportunities, Costs, Risks (BOCR) analysis. The results obtained from four total score functions are compared and Option 4 is selected to be the best policy in terms of social acceptability.
Original language | English |
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Title of host publication | Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference |
Editors | Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 93-100 |
Number of pages | 8 |
ISBN (Print) | 9783030855765 |
DOIs | |
Publication status | Published - 2022 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Duration: 24 Aug 2021 → 26 Aug 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 308 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2021 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 24/08/21 → 26/08/21 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- AHP
- BOCR
- Intuitionistic fuzzy sets
- Pythagorean fuzzy sets
- Renewable energy
- Social acceptance